While the world is focused on Large Language Models, which are passive and only generate on command, they can’t produce business decisions such as revenue, pricing, and inventory optimization, which require predicting numbers, not words.
Fetcherr's Co-Founder and Chief AI Officer, Dr. Uri Yerushalmi, identified this missing link, which led him to pioneer Fetcherr’s Large Market Model (LMM) - a new category of Generative AI trained not on text, but on market data such as pricing dynamics, demand elasticity, competitive behavior, and inventory constraints. This allows LMMs to predict the next move in hyper-dimensional market ecosystems.
Fetcherr’s LMM isn't about prediction alone. It's a simulation at scale. The model’s architecture consolidates market data, trains the LMM on underlying market structures, and then deploys a massive simulation engine to test millions of strategic scenarios and identify the single optimal policy for maximum reward.
Hit play to watch Dr. Yerushalmi’s full keynote live from the RAISE Summit 2025 in Paris, and discover how Quantitative AI is solving the profitability gap that Qualitative AI cannot address
